Senior Real-Time Computer Vision Engineer (C++)

Shield AI; City of Melbourne; On-site; AUD 110,000 - 170,000; Full time

Job summary

Shield AI is seeking a Computer Vision C++ Engineer to advance real-time perception for its autonomous systems. You will design, develop, and integrate high-performance CV algorithms into edge-ready software pipelines.

The role requires translating research into deployable code, with emphasis on SLAM, tracking, 3D reconstruction, and sensor fusion. A strong background in C++, computer vision, and real-time systems is essential, with collaboration across AI, robotics, and optical engineers.

Qualifications

• Degree in computer vision, CS, engineering, or related field.
• Deep proficiency in C++, with experience in high-performance, real-time environments.
• Experience designing and implementing custom computer vision algorithms from scratch.
• Solid understanding of computer vision, image processing, and ML principles.
• Strong software engineering fundamentals: data structures, algorithms, optimization, version control.
• Ability to own technical work from ambiguous requirements to delivery.
• Ability to collaborate with multidisciplinary teams for edge solutions.

Responsibilities

• Design, develop, and integrate real-time computer vision into edge C++ pipelines.
• Build custom perception capabilities for autonomous systems.
• Support tracking, localization, scene reconstruction, and map-building.
• Translate research concepts into deployable software for production.

Skills

C++ proficiency

Real-time systems

Custom CV algorithms

CV fundamentals

Software engineering

Technical ownership

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering/related

Master’s or PhD (preferred)

Tools

OpenCV

Job description

Shield AI is seeking a Computer Vision C++ Engineer to advance real-time perception for its autonomous systems. You will design, develop, and integrate high-performance CV algorithms into edge-ready software pipelines.

The role requires translating research into deployable code, with emphasis on SLAM, tracking, 3D reconstruction, and sensor fusion. A strong background in C++, computer vision, and real-time systems is essential, with collaboration across AI, robotics, and optical engineers.